R.ComDim: Common Dimensions (ComDim) Multi-Block Analysis

Common Dimensions (ComDim) is a multi-block method that simultaneously considers multiple data tables to find latent components that are common to all the tables as well as those specific to each data table, along with the contribution of each table to each component. See Jouan-Rimbaud Bouveresse and Rutledge (2024) <doi:10.1002/cem.3454>, Boccard and Rutledge (2013) <doi:10.1016/j.aca.2013.01.022>, and Puig-Castellví et al. (2021) <doi:10.1016/j.chemolab.2021.104422>.

Version: 1.0.0
Depends: methods
Imports: pracma, utils, ggplot2, ConsensusOPLS
Suggests: gridExtra, imputeLCMD, ica, MultiAssayExperiment, SummarizedExperiment, ropls
Published: 2026-05-13
DOI: 10.32614/CRAN.package.R.ComDim (may not be active yet)
Author: Francesc Puig-Castellví [aut, cre]
Maintainer: Francesc Puig-Castellví <puig.francesc at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: R.ComDim citation info
CRAN checks: R.ComDim results

Documentation:

Reference manual: R.ComDim.html , R.ComDim.pdf

Downloads:

Package source: R.ComDim_1.0.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): R.ComDim_1.0.0.tgz, r-oldrel (arm64): R.ComDim_1.0.0.tgz, r-release (x86_64): R.ComDim_1.0.0.tgz, r-oldrel (x86_64): R.ComDim_1.0.0.tgz

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